AI Chat AI Image Generator AI Video Text to Speech

Deep Neural Networks based Modrec: Some Results with Inter-Symbol Interference and Adversarial Examples

11/14/2018

∙

by S. Asim Ahmed, et al.

∙

∙

Recent successes and advances in Deep Neural Networks (DNN) in machine vision and Natural Language Processing (NLP) have motivated their use in traditional signal processing and communications systems. In this paper, we present results of such applications to the problem of automatic modulation recognition. Variations in wireless communication channels are represented by statistical channel models and their parameterization will increase with the advent of 5G. In this paper, we report effect of simple two path channel model on our naive deep neural network based implementation. We also report impact of adversarial perturbation to the input signal.

S. Asim Ahmed
2 publications
Subhashish Chakravarty
1 publication
Michael Newhouse
1 publication

research

∙ 01/01/2019

A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks

Deep neural networks (DNNs) have been widely used in the fields such as ...

0 Long Zhang, et al. ∙

research

∙ 06/30/2021

Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions

Deep neural network (DNN) is a popular model implemented in many systems...

8 Juan Shu, et al. ∙

research

∙ 02/27/2019

Communication without Interception: Defense against Deep-Learning-based Modulation Detection

We consider a communication scenario, in which an intruder, employing a ...

10 Muhammad Zaid Hameed, et al. ∙

research

∙ 05/29/2022

Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks

Automatic modulation classification (AMC) using the Deep Neural Network ...

0 Eyad Shtaiwi, et al. ∙

research

∙ 07/10/2021

HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks

Deep Neural Networks (DNN) applications are increasingly becoming a part...

0 Florian Tambon, et al. ∙

research

∙ 04/21/2019

NeuronBlocks -- Building Your NLP DNN Models Like Playing Lego

When building deep neural network models for natural language processing...

0 Ming Gong, et al. ∙

research

∙ 04/09/2022

Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks

Automatic RF modulation recognition is a primary signal intelligence (SI...

0 Anu Jagannath, et al. ∙